AIMC Topic: Data Mining

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Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reduction.

Artificial intelligence in medicine Jun 8, 2016
BACKGROUND AND AIMS: Machine learning techniques for the text mining of cancer-related clinical documents have not been sufficiently explored. Here some techniques are presented for the pre-processing of free-text breast cancer pathology reports, wit...
Breast Neoplasms Noise Data Mining Pathology, Surgical Machine Learning Software Algorithms Humans
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An ensemble method for extracting adverse drug events from social media.

Artificial intelligence in medicine Jun 6, 2016
OBJECTIVE: Because adverse drug events (ADEs) are a serious health problem and a leading cause of death, it is of vital importance to identify them correctly and in a timely manner. With the development of Web 2.0, social media has become a large dat...
Drug-Related Side Effects and Adverse Reactions Humans Data Mining Social Media Pharmacovigilance Natural Language Processing Internet Semantics
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The use of machine learning for the identification of peripheral artery disease and future mortality risk.

Journal of vascular surgery Jun 3, 2016
OBJECTIVE: A key aspect of the precision medicine effort is the development of informatics tools that can analyze and interpret "big data" sets in an automated and adaptive fashion while providing accurate and actionable clinical information. The aim...
Humans Machine Learning Algorithms Female Reproducibility of Results Risk Factors Aged Decision Support Techniques Databases, Factual Prognosis Predictive Value of Tests Area Under Curve Coronary Angiography ROC Curve Data Mining Male Genomics Ankle Brachial Index Logistic Models Middle Aged Linear Models Peripheral Arterial Disease Risk Assessment
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Using machine learning to model dose-response relationships.

Journal of evaluation in clinical practice May 30, 2016
RATIONALE, AIMS AND OBJECTIVES: Establishing the relationship between various doses of an exposure and a response variable is integral to many studies in health care. Linear parametric models, widely used for estimating dose-response relationships, h...
Dose-Response Relationship, Drug Discriminant Analysis Data Mining Humans Isoproterenol Blood Flow Velocity Machine Learning Cardiotonic Agents Algorithms Male
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Big Data and machine learning in radiation oncology: State of the art and future prospects.

Cancer letters May 27, 2016
Precision medicine relies on an increasing amount of heterogeneous data. Advances in radiation oncology, through the use of CT Scan, dosimetry and imaging performed before each fraction, have generated a considerable flow of data that needs to be int...
Radiotherapy Planning, Computer-Assisted Unsupervised Machine Learning Humans Radiation Dosage Risk Assessment Data Interpretation, Statistical Databases, Factual Radiotherapy Neural Networks, Computer Radiation Oncology Neoplasms Electronic Health Records Data Mining Risk Factors Machine Learning Support Vector Machine Decision Support Techniques Biomedical Research
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SWIFT-Review: a text-mining workbench for systematic review.

Systematic reviews May 23, 2016
BACKGROUND: There is growing interest in using machine learning approaches to priority rank studies and reduce human burden in screening literature when conducting systematic reviews. In addition, identifying addressable questions during the problem ...
Systematic Reviews as Topic Data Mining Information Storage and Retrieval Machine Learning Linear Models Software Algorithms Databases, Factual
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Representing higher-order dependencies in networks.

Science advances May 20, 2016
To ensure the correctness of network analysis methods, the network (as the input) has to be a sufficiently accurate representation of the underlying data. However, when representing sequential data from complex systems, such as global shipping traffi...
Neural Networks, Computer Artificial Intelligence Algorithms Reproducibility of Results Cluster Analysis Models, Statistical Data Mining
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Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values.

PloS one May 19, 2016
This work is motivated by the needs of predictive analytics on healthcare data as represented by Electronic Medical Records. Such data is invariably problematic: noisy, with missing entries, with imbalance in classes of interests, leading to serious ...
Regression Analysis Medical Informatics Databases, Factual Benchmarking False Positive Reactions Data Mining Electronic Health Records Health Services Research Models, Theoretical Support Vector Machine Humans Software Algorithms
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Learning disease relationships from clinical drug trials.

Journal of the American Medical Informatics Association : JAMIA May 17, 2016
OBJECTIVE: Our objective is to test the limits of the assumption that better learning from data in medicine requires more granular data. We hypothesize that clinical trial metadata contains latent scientific, clinical, and regulatory expert knowledge...
Drug Evaluation Disease Vocabulary, Controlled Drug Therapy Humans Machine Learning Area Under Curve Data Mining Metadata Medical Subject Headings Clinical Trials as Topic
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BELTracker: evidence sentence retrieval for BEL statements.

Database : the journal of biological databases and curation May 12, 2016
Biological expression language (BEL) is one of the main formal representation models of biological networks. The primary source of information for curating biological networks in BEL representation has been literature. It remains a challenge to ident...
Data Mining Semantics Data Curation Computational Biology Natural Language Processing Internet Software
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